Evidence map›Paper›PMID 40366271›Full record

ArticleFlorence Nightingale journal of nursing2025

Psychometric Properties of the Turkish Version of Perceived Inventory of Technological Competency as Caring in Nursing.

Dilek Demir Kösem, Şenay Demir, Murat Bektaş, İlknur Bektaş, Çiğdem Müge Haylı, Neşe Ataman Bor, Nesrullah Ayşin, Özgür Tutal, Hirokazu Ito, Yuko Yasuhara and 1 more

Abstract read
In one paragraph

Article in Florence Nightingale journal of nursing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Dilek Demir KösemDepartment of Nursing, Hakkari University, Faculty of Health Sciences, Hakkari, Türkiye.
Şenay DemirDepartment of Physical Therapy and Rehabilitation, Selçuk University, Faculty of Health Sciences, Konya, Türkiye.
Murat BektaşDepartment of Nursing, Dokuz Eylül University, Faculty of Nursing, İzmir, Türkiye.
İlknur BektaşDepartment of Nursing, İzmir Bakırçay University, Faculty of Health Sciences, İzmir, Türkiye.
Çiğdem Müge HaylıDepartment of Nursing, Hakkari University, Faculty of Health Sciences, Hakkari, Türkiye.
Neşe Ataman BorDepartment of Nursing, Hakkari University, Faculty of Health Sciences, Hakkari, Türkiye.
Nesrullah AyşinDepartment of Medical Services and Techniques, Hakkari University, Vocational School of Health Services, Hakkari, Türkiye.
Özgür TutalDepartment of Child Development, Hakkari University, Faculty of Health Sciences, Hakkari, Türkiye.
Hirokazu ItoDepartment of Nursing, Institute of Biomedical Sciences, Tokushima University Graduate School, Tokushima, Japan.
Yuko YasuharaDepartment of Nursing, Institute of Biomedical Sciences, Tokushima University Graduate School, Tokushima, Japan.
Tetsuya TaniokaDepartment of Nursing, Institute of Biomedical Sciences, Tokushima University Graduate School, Tokushima, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThis research is to analyze the psychometric feature of the Perceived Inventory of Technological Competency as Caring in Nursing in the Turkish version.

methodA methodological study type was employed. Five hundred one nurses participated in the research, carried out between November 2021 and February 2022. The measures included a sociodemographic data collection tool and the Perceived Inventory of Technological Competency as Caring in Nursing-Turkish. To determine the psychometric properties of the scale, the validity study included content and construct validity analyses, and the reliability study was conducted using item analysis and split-half and Cronbach's alpha coefficients.

resultsThe Turkish adaptation of the Perceived Inventory of Technological Competency as Caring in Nursing comprised 18 questions collected under four sub-factors, explaining 56.08% of the total variance. According to the confirmatory factor analyses results, fit values were determined as comparative fit index = 0.94, normed fit index = 0.91, Trucker-lewis index = 0.92, goodness of fit index = 0.90, root mean square error of approximation = 0.070, incremental fit index = 0.94, χ2 = 439.052, df=126, p < .001, and χ2/df = 3.485. The total instrument and its sub-factors had Cronbach's α figures of 0.92 and >0.70, respectively.

conclusionThe Turkish form of the Perceived Inventory of Technological Competency as Caring in Nursing showed adequate psychometric properties. The essential contribution of this study was that it provided a reliable and valid inventory to evaluate nurses' perceived technological competence as caring for the Turkish version.

Identifiers

PMID40366271
PMCPMC12042243

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.